Triple
T20516561
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Schäfflertanz |
E503696
|
entity |
| Predicate | hasKeyLocation |
P18908
|
FINISHED |
| Object | Viktualienmarkt |
—
|
NE NERFINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Viktualienmarkt | Statement: [Schäfflertanz, hasKeyLocation, Viktualienmarkt]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Viktualienmarkt Context triple: [Schäfflertanz, hasKeyLocation, Viktualienmarkt]
-
A.
Viktualienmarkt
chosen
Viktualienmarkt is a famous open-air food and produce market in the historic center of Munich, known for its diverse stalls, beer garden, and traditional Bavarian atmosphere.
-
B.
Rathausmarkt
Rathausmarkt is the large central square in Hamburg that serves as the main public plaza in front of the city hall and a key venue for events, markets, and civic gatherings.
-
C.
Grüner Markt
Grüner Markt is a central marketplace and public square in the Bavarian city of Fürth, known for its local vendors and historic urban setting.
-
D.
Ochsenmarkt
Ochsenmarkt was the historical marketplace in Berlin that later became known as Alexanderplatz, once a central hub for trade and urban life.
-
E.
Werderscher Markt
Werderscher Markt is a historic square located in central Berlin, Germany, known for its proximity to significant government and cultural buildings.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69e0b4b2aa788190ae9eb37c1d73b1f1 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e69f41eee481908121e54c7bd691ca |
completed | April 20, 2026, 9:48 p.m. |
Created at: April 16, 2026, 11:36 a.m.